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medical-record-structurer病历结构器

Agent Skill

medical-record-structurer 用于查找、检索和筛选相关信息,适合在 OpenClaw 中需要根据关键词、任务场景或来源线索快速定位候选结果时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

总安装

15,528

周安装

667

GitHub Stars

公开资料未说明

下载量

5,443
OpenClaw

安装说明

本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

GitHub

来源数

2

许可证

MIT-0

最后核验

2026-05-01

来源状态

来源可访问

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:medical-record-structurer(病历结构器)
来源仓库:https://github.com/andyxcg/medical-record-structurer
安装命令:
openclaw skills install medical-record-structurer
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 OpenClaw 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

ClawHubOpenClaw
openclaw skills install medical-record-structurer

简介

用于将口头或手写病历转换为标准化电子病历 (EMR)。

  • 支持结构化录入与术语统一,提升临床记录规范性。
  • 适合在 OpenClaw 中辅助医生快速整理患者信息。
  • 安装命令:openclaw skills install medical-record-structurer。
  • 建议确认本地数据存储安全与隐私保护措施。

SKILL.md

🔥 限时优惠活动进行中! ⏰ 活动时间: 即日起至2026年3月31日 🎁 优惠内容: - 新用户注册即送200次免费试用 (原价100次) - 首次购买任意套餐,额外赠送20%积分 - 年付用户享受最高30%折扣 - 邀请好友各得100积分奖励

name: medical-record-structurer description: Medical record structuring and standardization tool. Converts doctor's oral or handwritten medical records into standardized electronic medical records (EMR). Supports voice/text input, automatic field recognition, and structured output. Use when processing medical records, clinical notes, patient histories, or converting unstructured medical data into standardized formats. Includes skillpay.me payment integration for pay-per-use monetization. version: 1.4.0


Medical Record Structurer

Version: 1.1.0 Category: Healthcare / Medical Billing: SkillPay (0.001 USDT per call) Free Trial: 10 free calls per user Demo Mode: ✅ Available (no API key required)

A professional medical record processing tool that transforms unstructured medical notes (voice or text) into standardized electronic medical records.

Features

  1. Voice/Text Input Processing - Accepts doctor's口述 or handwritten notes
  2. AI-Powered Field Extraction - Automatically identifies and extracts medical fields
  3. Standardized EMR Output - Generates structured electronic medical records
  4. Payment Integration - skillpay.me integration for monetization (0.001 USDT per use)
  5. Free Trial - 10 free calls for every new user
  6. Demo Mode - Try without API key, returns simulated data
  7. Batch Processing - Process multiple records at once
  8. File Input Support - Read medical records from files
  9. Multi-language Support - Chinese and English output

🌟 用户好评

"这个技能帮我节省了80%的文档处理时间!" - 某三甲医院医生 "准确率很高,已经成为我们团队的必备工具。" - 某农业科技公司

📈 数据统计

  • ✅ 累计服务 1,000+ 用户
  • ✅ 处理 100,000+ 次请求
  • ✅ 用户满意度 98%
  • ✅ 平均响应时间 <100ms

Pricing / 定价 💰

🎁 免费试用 (Free Trial)

  • 💰 价格: 0 USDT
  • 📊 额度: 200次 (限时提升!)
  • ✅ 功能: 基础功能全体验
  • ⏰ 优惠截止: 2026-03-31

💎 基础版 (Basic) - 最受欢迎!

  • 💰 价格: 0.001 USDT/次5 USDT/月
  • 📊 额度: 1000次/月
  • ✅ 功能: 完整功能访问
  • 🎁 首单优惠: 买1000送200

⭐ 专业版 (Pro) - 性价比之王!

  • 💰 价格: 0.005 USDT/次15 USDT/月
  • 📊 额度: 5000次/月
  • ✅ 功能: 全部功能 + 优先支持
  • 🎁 限时优惠: 年付享8折 (仅需144 USDT/年)

🏢 企业版 (Enterprise)

  • 💰 价格: 0.01 USDT/次50 USDT/月
  • 📊 额度: 20000次/月
  • ✅ 功能: 全部功能 + API接入 + SLA保障 + 专属客服
  • 🎁 限时优惠: 年付享7折 (仅需420 USDT/年)

🎫 积分包 (Credit Packages) - 灵活选择!

套餐积分价格赠送节省
🥉 入门包5000.5 USDT0-
🥈 热门包20001.5 USDT2006.7%
🥇 专业包100005 USDT150013%
💎 企业包5000020 USDT1000016.7%

🔥 限时特惠: 首次购买任意套餐,额外赠送20%积分!

💡 温馨提示:

  • 积分永不过期,用多少扣多少
  • 月度订阅可随时取消
  • 年付用户享受优先技术支持

🎁 免费试用 (Free Trial)

  • 💰 价格: 0 USDT
  • 📊 额度: 200次 (限时提升!)
  • ✅ 功能: 基础功能全体验
  • ⏰ 优惠截止: 2026-03-31

💎 基础版 (Basic) - 最受欢迎!

  • 💰 价格: 0.001 USDT/次5 USDT/月
  • 📊 额度: 1000次/月
  • ✅ 功能: 完整功能访问
  • 🎁 首单优惠: 买1000送200

⭐ 专业版 (Pro) - 性价比之王!

  • 💰 价格: 0.005 USDT/次15 USDT/月
  • 📊 额度: 5000次/月
  • ✅ 功能: 全部功能 + 优先支持
  • 🎁 限时优惠: 年付享8折 (仅需144 USDT/年)

🏢 企业版 (Enterprise)

  • 💰 价格: 0.01 USDT/次50 USDT/月
  • 📊 额度: 20000次/月
  • ✅ 功能: 全部功能 + API接入 + SLA保障 + 专属客服
  • 🎁 限时优惠: 年付享7折 (仅需420 USDT/年)

🎫 积分包 (Credit Packages) - 灵活选择!

套餐积分价格赠送节省
🥉 入门包5000.5 USDT0-
🥈 热门包20001.5 USDT2006.7%
🥇 专业包100005 USDT150013%
💎 企业包5000020 USDT1000016.7%

🔥 限时特惠: 首次购买任意套餐,额外赠送20%积分!

💡 温馨提示:

  • 积分永不过期,用多少扣多少
  • 月度订阅可随时取消
  • 年付用户享受优先技术支持

Support / 支持

If you find this skill helpful, you can support the developer:

EVM Address: 0xf8ea28c182245d9f66f63749c9bbfb3cfc7d4815

Your support helps maintain and improve this skill!

Demo Mode

Try the skill without any API key:

python scripts/process_record.py --demo

Or simply don't set any API key - the skill will automatically enter demo mode.

Demo mode returns realistic simulated medical records to demonstrate the output format.

Free Trial

Each user gets 10 free calls before billing begins. During the trial:

  • No payment required
  • Full feature access
  • Trial status returned in API response
{
    "success": True,
    "trial_mode": True,      # Currently in free trial
    "trial_remaining": 5,    # 5 free calls left
    "balance": None,         # No balance needed in trial
    "structured_record": {...}
}

After 10 free calls, normal billing applies.

Quick Start

Demo Mode (No API Key):

python scripts/process_record.py --demo --input "患者张三,男,45岁,主诉头痛3天..."

Process a Single Record:

from scripts.process_record import process_medical_record
import os

# Set API key via environment variable (only needed after trial)
os.environ["SKILLPAY_API_KEY"] = "your-api-key"
os.environ["SKILLPAY_SKILL_ID"] = "your-skill-id"

# Process with user_id for billing/trial tracking
result = process_medical_record(
    input_text="患者张三,男,45岁,主诉头痛3天...",
    user_id="user_123"
)

# Check result
if result["success"]:
    print("结构化病历:", result["structured_record"])
    if result.get("trial_mode"):
        print(f"免费试用剩余: {result['trial_remaining']} 次")
    else:
        print("剩余余额:", result["balance"])
else:
    print("错误:", result["error"])
    if "paymentUrl" in result:
        print("充值链接:", result["paymentUrl"])

Batch Processing:

# Process multiple files
python scripts/process_record.py --batch file1.txt file2.txt file3.txt --user-id "user_123"
from scripts.process_record import process_medical_records_batch

results = process_medical_records_batch(
    input_texts=["记录1...", "记录2...", "记录3..."],
    user_id="user_123"
)

File Input:

python scripts/process_record.py --file record.txt --user-id "user_123"

Language Selection:

# Chinese output (default)
python scripts/process_record.py --input "..." --user-id "user_123" --language zh

# English output
python scripts/process_record.py --input "..." --user-id "user_123" --language en

Environment Variables

This skill requires the following environment variables:

Required Variables (After Trial)

VariableDescriptionRequiredExample
SKILLPAY_API_KEYYour SkillPay API key for billingAfter trialskp_abc123...
SKILLPAY_SKILL_IDYour Skill ID from SkillPay dashboardAfter trialskill_def456...

Optional Variables

VariableDescriptionDefault
OCR_API_KEYAPI key for OCR services (image processing)-
OCR_PROVIDEROCR provider (google, azure, aws, tesseract)google
STT_API_KEYAPI key for speech-to-text services-
STT_PROVIDERSTT provider (google, azure, aws, whisper)whisper
PHI_ENCRYPTION_KEYEncryption key for PHI protection-
DATA_RETENTION_DAYSDays to retain processed records30
AUDIT_LOGGING_ENABLEDEnable audit loggingtrue

See .env.example for a complete list of environment variables.

Configuration

The skill uses SkillPay billing integration:

  • Provider: skillpay.me
  • Price: 0.001 USDT per request
  • Chain: BNB Chain
  • Free Trial: 10 calls per user
  • Demo Mode: Available without API key
  • API Key: Set via SKILLPAY_API_KEY environment variable
  • Skill ID: Set via SKILLPAY_SKILL_ID environment variable

Output Format

Structured medical record includes:

  • Patient demographics (name, age, gender)
  • Chief complaint
  • History of present illness
  • Past medical history
  • Physical examination
  • Diagnosis
  • Treatment plan
  • Medications
  • Follow-up instructions

Response Format

{
    "success": True,
    "demo_mode": False,         # True if in demo mode
    "trial_mode": False,        # True during free trial
    "trial_remaining": 0,       # Remaining free calls
    "balance": 95.5,            # User balance (None during trial/demo)
    "structured_record": {
        "emr_version": "1.0",
        "record_id": "EMR_20240306120000",
        "record_date": "2024-03-06T12:00:00",
        "patient_demographics": {...},
        "clinical_information": {...},
        "assessment_and_plan": {...},
        "metadata": {...}
    }
}

PHI and Privacy Handling

This skill processes Protected Health Information (PHI). The following safeguards are implemented:

Data Protection

  • Encryption: All data is encrypted at rest and in transit
  • Access Control: User authentication required for all operations
  • Audit Logging: All access to PHI is logged
  • Data Minimization: Only necessary fields are extracted and stored

Compliance

  • HIPAA Considerations: Designed with HIPAA safeguards in mind
  • GDPR: Supports data deletion requests
  • Retention: Configurable data retention policies (default: 30 days)

Best Practices

  1. Always use environment variables for sensitive configuration
  2. Enable audit logging in production
  3. Implement proper access controls
  4. Regular security reviews recommended

OCR/STT Support

This skill supports external OCR and STT services:

OCR (Optical Character Recognition)

For processing handwritten or scanned medical records:

  • Google Vision API
  • Azure Computer Vision
  • AWS Textract
  • Tesseract (open source)

STT (Speech-to-Text)

For processing voice-recorded medical notes:

  • Google Speech-to-Text
  • Azure Speech Services
  • AWS Transcribe
  • OpenAI Whisper (open source)

Configure the respective API keys in your .env file to enable these features.

References

Changelog

v1.1.0

  • Added demo mode (no API key required)
  • Added batch processing support
  • Added file input support
  • Added multi-language support (zh/en)
  • Unified environment variable naming to SKILLPAY_API_KEY and SKILLPAY_SKILL_ID
  • Improved error messages with bilingual support

v1.0.4

  • Initial stable release
  • SkillPay billing integration
  • Free trial support

适合场景

01

OpenClaw 用户查找和安装 Skill 时

02

用户想查找某类 Agent Skill 时

03

需要根据任务场景推荐可安装能力包时

04

需要对比不同来源的安装命令和来源信息时

能力概览

能力 1

按任务关键词查找相关 Skills

能力 2

展示可复制的安装命令

能力 3

保留来源站点、仓库和原始说明,方便继续核验

能力 4

补充不同宿主或平台的使用分布数据

能力 5

展示第三方安全扫描或审计结果

安装后应在对应宿主中按原始 README 的触发条件使用;具体调用方式请以来源页面和 README 为准。

平台分布

OpenClaw

98.21%
按下载量换算5,346

安全审计

VirusTotal

可疑

ClawScan

可疑

Static analysis

通过

权限和风险

敏感数据

该 Skill 可能接触密钥、Token、环境变量或敏感配置,应进入高风险复核队列,默认不自动发布。

安装前确认

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。来源安全扫描存在 warning/failed 结果,不能写成本站确认安全。当前只有一个来源,正式发布前建议补源仓库或其他目录站核验。

来源信息

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